Predicting Serum Levels of Lithium-Treated Patients: A Supervised Machine Learning Approach

Predicting Serum Levels of Lithium-Treated Patients: A Supervised Machine Learning Approach

Routine monitoring of lithium levels is common clinical practice. This is because the lithium prediction strategies available developed by previous studies are still limited due to insufficient prediction performance. Thus, we used machine learning approaches to predict lithium concentration in a la...

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Bibliographic Details
Main Authors: Chih-Wei Hsu, Shang-Ying Tsai, Liang-Jen Wang, Chih-Sung Liang, Andre F. Carvalho, Marco Solmi, Eduard Vieta, Pao-Yen Lin, Chien-An Hu, Hung-Yu Kao
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Biomedicines
Subjects:
bipolar disorder
lithium
machine learning
random forest
support vector machine
therapeutic drug monitoring
Online Access:https://www.mdpi.com/2227-9059/9/11/1558

Internet

https://www.mdpi.com/2227-9059/9/11/1558

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